Relocation will not be offered with this role

As a Mobile Infrastructure Verification Engineer, you will be part of a dynamic team developing, testing, and supporting innovative software and hardware systems, collaborate with experienced engineers, and participate in 5G RAN end-to-end system testing including integration, verification & testing against customer requirements and specifications. You will be directly involved in developing, training, and testing AI model to be used for discovering potential malfunction in 5G system.

• Bachelor's/Master’s degree in telecommunications, computer engineering, electrical engineering, AI/ML and data analysis or a related field.
• Hands-on knowledge in mobile network technologies, with a strong focus on RAN systems and AI/ML applications.
• Good programming skills in Python, familiarity with LLMs (Cursor, Copilot, Claude, or similar) and NotebookLM, Langchain/Lang Graph.
• Basic knowledge of 5G Mobile Networks.
• Strong problem-solving skills and attention to detail
• Excellent communication and teamwork abilities
• Flexible and adaptable in managing varied tasks

It would be nice if you also had:

• Strong foundation in telecommunications, networking protocols, and network performance analysis with proven problem-solving skills

• Experiences in AI/ML-powered RAN technologies and a proven ability to innovate in AI-RAN architecture.

• Knowledge of AI-RAN and Cloud RAN

• Previous Nokia internship or co-op experience is beneficial.

• Develop AI models for analyze, design, test as well as bug finding in Nokia gNB

• Preprocess data sources for network training and querying

• Train the AI model based on expected messages exchanges between networks elements

• Test the AI models on different log types of simulated and real environment systems reproduced in laboratory

• Support with implementing and testing model architectures using advanced frameworks.

• Participate in Customer Validation Requirement regression & feature study and test case execution with AI tools.